International Journal of Mechanical Sciences,
Год журнала:
2023,
Номер
248, С. 108195 - 108195
Опубликована: Фев. 11, 2023
In
this
paper,
an
advanced
computational
method
is
proposed,
whose
aim
to
obtain
approximately
optimal
design
of
a
particular
class
acoustic
metamaterials,
by
means
novel
combination
multi-objective
optimization
and
dimensionality
reduction.
Metamaterials
are
modeled
as
beam
lattices
with
internal
local
resonators
coupled
the
microstructure
through
viscoelastic
phase.
The
dynamics
governed
set
integro-differential
equations,
that
transformed
into
Z-Laplace
space
in
order
derive
eigenproblem
solution
provides
dispersion
relation
free
in-plane
propagating
Bloch
waves.
A
problem
stated,
achieve
largest
multiplicative
trade-off
between
bandwidth
first
stop
band
one
successive
pass
metamaterial
frequency
spectrum.
Motivated
multi-dimensionality
parameters
space,
goal
above
achieved
integrating
numerical
machine
learning.
Specifically,
solved
combining
sequential
linear
programming
algorithm
principal
component
analysis,
exploited
data
reduction
technique
applied
properly
sampled
field
gradient
directions,
perform
optimized
sensitivity
analysis.
This
represents
original
way
applying
analysis
connection
optimization.
Successful
performances
proposed
its
savings
demonstrated.
Applied Physics Letters,
Год журнала:
2022,
Номер
121(8)
Опубликована: Авг. 22, 2022
In
last
two
decades,
it
has
been
theoretically
and
experimentally
demonstrated
that
seismic
metamaterials
are
capable
of
isolating
surface
waves.
Inertial
amplification
mechanisms
with
small
mass
have
proposed
to
design
isolate
elastic
waves
in
rods,
beams,
plates
at
low
frequencies.
this
Letter,
we
propose
an
alternative
type
metamaterial
providing
ultra-low-frequency
bandgap
induced
by
inertial
amplification.
A
unique
kind
inertially
amplified
is
first
conceived
designed.
Its
characteristics
for
flexural
then
numerically
demonstrated.
Finally,
the
embedded
mechanism
introduced
on
a
soil
substrate
strongly
attenuating
around
frequency
4
Hz.
This
work
provides
promising
way
conceive
steer
control
Physica Scripta,
Год журнала:
2023,
Номер
98(4), С. 045024 - 045024
Опубликована: Март 15, 2023
Abstract
Inertial
amplification
mechanisms
could
be
used
to
control
the
propagation
of
elastic
waves
in
beams
and
slabs,
but
it
was
a
difficult
problem
apply
inertial
seismic
metamaterials
design
low-frequency
broadband.
This
paper
presents
inertially
amplified
locally
resonant
metamaterial
(IALR-SM)
using
coupling
mechanism
local
resonance.
In
contrast
(LRSM),
large-mass
columns
as
resonators
IALR-SM
are
attached
connector
small-mass
form
inertia
structures.
The
finite
element
method
calculates
eigenmodes’
band
structure
displacement
vector
field.
Numerical
results
indicated
that
bandwidth
increases
by
194%
compared
LRSM
for
surface
below
20
Hz.
formation
yield
large
gaps
is
attributed
resonance
amplification.
addition,
numerical
effects
geometric
parameters
on
investigated.
findings
showed
side
length
plays
vital
role
determining
which
dominant.
Finally,
field
experiments
demonstrated
generates
International Journal of Mechanical Sciences,
Год журнала:
2023,
Номер
248, С. 108195 - 108195
Опубликована: Фев. 11, 2023
In
this
paper,
an
advanced
computational
method
is
proposed,
whose
aim
to
obtain
approximately
optimal
design
of
a
particular
class
acoustic
metamaterials,
by
means
novel
combination
multi-objective
optimization
and
dimensionality
reduction.
Metamaterials
are
modeled
as
beam
lattices
with
internal
local
resonators
coupled
the
microstructure
through
viscoelastic
phase.
The
dynamics
governed
set
integro-differential
equations,
that
transformed
into
Z-Laplace
space
in
order
derive
eigenproblem
solution
provides
dispersion
relation
free
in-plane
propagating
Bloch
waves.
A
problem
stated,
achieve
largest
multiplicative
trade-off
between
bandwidth
first
stop
band
one
successive
pass
metamaterial
frequency
spectrum.
Motivated
multi-dimensionality
parameters
space,
goal
above
achieved
integrating
numerical
machine
learning.
Specifically,
solved
combining
sequential
linear
programming
algorithm
principal
component
analysis,
exploited
data
reduction
technique
applied
properly
sampled
field
gradient
directions,
perform
optimized
sensitivity
analysis.
This
represents
original
way
applying
analysis
connection
optimization.
Successful
performances
proposed
its
savings
demonstrated.
